70 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in Portugal
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- INESC TEC
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- FEUP
- Universidade de Coimbra
- INESC ID
- Instituto de Telecomunicações
- Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro
- UNIVERSIDADE DE ÉVORA
- Universidade de Aveiro
- Universidade do Minho - ISISE
- University of Trás-os-Montes and Alto Douro
- Faculdade de Ciências e Tecnologia
- ISCTE - Instituto Universitário de Lisboa
- Instituto Politécnico de Coimbra
- Instituto de Sistemas e Robótica (ISR)
- NOVA Information Management School (NOVA IMS)
- Universidade Autónoma de Lisboa
- Universidade Católica Portuguesa - Porto
- 8 more »
- « less
-
Field
-
programme Reference Number AE2025-0527 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0527
-
by the European Research Council - ERC COG 101088763. The work for this position is in the area of Machine Learning, Decision Theory, Reinforcement Learning. Scientific Area: Information and Data
-
for further studies in the field of scientific computing involving machine learning models for viscoelastic fluid flows. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording
-
Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 13 days ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
-
an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning
-
on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in musical audio machine learning frameworks, advanced knowledge in music theory, and
-
approaches for binarized network models, identifying their strengths, limitations, and applicability within privacy-focused machine learning frameworks. Special attention will be given to evaluating
-
/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission requirements
-
programme Reference Number AE2025-0509 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0509
-
tools, with particular focus on multi-threaded and distributed scenarios. Experience with observability tools, particularly OpenTelemetry. Solid knowledge and experience in machine learning, deep learning